Data Analyst

Our Manchester client is looking for two Data Analysts to join our friendly and diverse team. Your role will involve turning data into insightful analysis and models to drive business growth. You will help develop customer analysis, provide insights into performance, and identify opportunities for strategic improvements.

• Analyse and interpret large datasets to identify trends, patterns and insights
• Develop statistical models and perform data mining techniques to support business decisions
• Work closely with various teams across the organization to understand their data needs and provide appropriate solutions
• Create dashboards and reports to communicate analysis findings to stakeholders effectively
• Continuously monitor and assess data quality, ensuring accuracy and consistency in reporting
• Stay updated on industry developments and best practices in data analysis, suggesting improvements as necessary

• Hold a Bachelor's degree in Data Science, Statistics, Mathematics, or a related field
• Demonstrate solid experience as a Data Analyst or in a similar capacity
• Possess a profound comprehension of database structures, data manipulation techniques, and analytical tools
• Proficient in SQL, Excel, Tableau
• Collaborate with stakeholders to conduct in-depth research on business challenges
• Generate reports from both structured and unstructured data in our Data Warehouse and Data Lake
• Assist in regulatory and compliance tasks by creating detailed reports
• Develop, prototype, and maintain reports in Power BI utilizing SQL and DAX
• Engage in an Agile Kanban workflow, employing source control for code review, testing, and deployment
• Coordinate with product teams to strategize and prioritize requests, review requirements, and ensure successful results
• Utilise visualisations to gauge and oversee strategies, initiatives, product advancements, and risk management
• Offer insightful commentary to guide decision-makers in acting on discoveries

• Bachelor's degree or equivalent in a quantitative field (e.g., mathematics, statistics, data science, business intelligence).
• Proficient in SQL, DAX, and advanced Excel.
• Skilled in visualization tools such as Cognos, SSRS, Power BI, or Business Objects.
• Statistical solid and problem-solving acumen, showcasing deductive and inquisitive thinking.
• Business acumen, particularly in financial services.
• Outstanding communication and presentation abilities.
• Proficiency in effective collaboration with peers.
• Approach development and business intelligence with a positive, enthusiastic, and methodical mindset.

• Competitive salary and benefits package.
• The work environment fosters collaboration and innovation.
• We support professional growth and development opportunities.
• Hybrid working

Apply and be part of a team shaping the future through data-driven solutions!